Transfer Entropy (Record no. 74616)

MARC details
000 -LEADER
fixed length control field 02957naaaa2200433uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/61186
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220220075820.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783038429203
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783038429197
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Deniz Gençağa (Ed.)
Relationship auth
245 10 - TITLE STATEMENT
Title Transfer Entropy
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (VIII, 326 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. Statistical relationships among the variables of a complex system reveal a lot about its physical behavior. Therefore, identification of the relevant variables and characterization of their interactions are crucial for a better understanding of a complex system. Linear methods, such as correlation, are widely used to identify these relationships. However, information-theoretic quantities, such as mutual information and transfer entropy, have been proven to be superior in the case of nonlinear dependencies. Mutual information quantifies the amount of information obtained about one random variable through the other random variable, and it is symmetric. As an asymmetrical measure, transfer entropy quantifies the amount of directed (time-asymmetric) transfer of information between random processes and, thus, it is related to concepts, such as the Granger causality. This Special Issue includes 16 papers elucidating the state of the art of data-based transfer entropy estimation techniques and applications, in areas such as finance, biomedicine, fluid dynamics and cellular automata. Analytical derivations in special cases, improvements on the estimation methods and comparisons between certain techniques are some of the other contributions of this Special Issue. The diversity of approaches and applications makes this book unique as a single source of invaluable contributions from experts in the field.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by-nc-nd/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term statistical signal processing
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Uncontrolled term entropy estimation
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Uncontrolled term nonlinear interactions
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Uncontrolled term data mining
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Uncontrolled term machine learning
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Uncontrolled term information-theoretic quantities
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Uncontrolled term causality
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Uncontrolled term information flow
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Uncontrolled term entropy
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Uncontrolled term correlation
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Uncontrolled term statistical dependency
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Uncontrolled term information-theory
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Uncontrolled term transfer entropy
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Uncontrolled term causal relationships
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Uncontrolled term mutual information
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Uncontrolled term Granger causality
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Uncontrolled term interacting subsystems
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://doi.org/10.3390/books978-3-03842-920-3">https://doi.org/10.3390/books978-3-03842-920-3</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/61186">https://directory.doabooks.org/handle/20.500.12854/61186</a>
Access status 0
Public note DOAB: description of the publication

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